Guggenheim Mid Cap Fund Market Value
SVUIX Fund | USD 8.68 0.18 2.12% |
Symbol | Guggenheim |
Guggenheim Mid 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Guggenheim Mid's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Guggenheim Mid.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Guggenheim Mid on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Guggenheim Mid Cap or generate 0.0% return on investment in Guggenheim Mid over 30 days. Guggenheim Mid is related to or competes with USCF Gold, Guggenheim Directional, Guggenheim Directional, Guggenheim Directional, Guggenheim Investment, Guggenheim Investment, and Guggenheim Rbp. The fund pursues its objective by investing, under normal circumstances, at least 80 percent of its assets in a diversified portfolio of equity securities, which include common stocks, rights, options, warrants, convertible debt securities, and American Depositary Receipts , that, when purchased, have market capitalizations that are usually within the range of companies in the Russell 2500 Value Index. More
Guggenheim Mid Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Guggenheim Mid's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Guggenheim Mid Cap upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.847 | |||
Information Ratio | (0.03) | |||
Maximum Drawdown | 3.78 | |||
Value At Risk | (1.12) | |||
Potential Upside | 1.35 |
Guggenheim Mid Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guggenheim Mid's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guggenheim Mid's standard deviation. In reality, there are many statistical measures that can use Guggenheim Mid historical prices to predict the future Guggenheim Mid's volatility.Risk Adjusted Performance | 0.0745 | |||
Jensen Alpha | (0.07) | |||
Total Risk Alpha | (0.09) | |||
Sortino Ratio | (0.03) | |||
Treynor Ratio | 0.0727 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Guggenheim Mid's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Guggenheim Mid Cap Backtested Returns
We consider Guggenheim Mid very steady. Guggenheim Mid Cap holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Guggenheim Mid Cap, which you can use to evaluate the volatility of the entity. Please check out Guggenheim Mid's Downside Deviation of 0.847, market risk adjusted performance of 0.0827, and Risk Adjusted Performance of 0.0745 to validate if the risk estimate we provide is consistent with the expected return of 0.1%. The fund retains a Market Volatility (i.e., Beta) of 1.35, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Guggenheim Mid will likely underperform.
Auto-correlation | 0.56 |
Modest predictability
Guggenheim Mid Cap has modest predictability. Overlapping area represents the amount of predictability between Guggenheim Mid time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Guggenheim Mid Cap price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Guggenheim Mid price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.56 | |
Spearman Rank Test | 0.7 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Guggenheim Mid Cap lagged returns against current returns
Autocorrelation, which is Guggenheim Mid mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Guggenheim Mid's mutual fund expected returns. We can calculate the autocorrelation of Guggenheim Mid returns to help us make a trade decision. For example, suppose you find that Guggenheim Mid has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Guggenheim Mid regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Guggenheim Mid mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guggenheim Mid mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Guggenheim Mid mutual fund over time.
Current vs Lagged Prices |
Timeline |
Guggenheim Mid Lagged Returns
When evaluating Guggenheim Mid's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guggenheim Mid mutual fund have on its future price. Guggenheim Mid autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Guggenheim Mid autocorrelation shows the relationship between Guggenheim Mid mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Guggenheim Mid Cap.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Check out Guggenheim Mid Correlation, Guggenheim Mid Volatility and Guggenheim Mid Alpha and Beta module to complement your research on Guggenheim Mid. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Complementary Tools for Guggenheim Mutual Fund analysis
When running Guggenheim Mid's price analysis, check to measure Guggenheim Mid's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Guggenheim Mid is operating at the current time. Most of Guggenheim Mid's value examination focuses on studying past and present price action to predict the probability of Guggenheim Mid's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Guggenheim Mid's price. Additionally, you may evaluate how the addition of Guggenheim Mid to your portfolios can decrease your overall portfolio volatility.
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Guggenheim Mid technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.